Web-Based Self Health Analysis System (WBSAS)

Abstract

This paper introduced a web based self-health analysis system using machine learning and system link for detecting health parameters. The system consists of a temperature sensor, blood pressure sensor and ECG sensor interfaced with the MyRIO. The parameters collected by the sensor compare the results and send to the web. It features the utmost important biomedical parameters for health analysis and Machine Learning Algorithms for health assessment and prediction. It also supports high speed data collection and real-time monitoring in a regular web browser, so this can be accessed globally by anyone. The cloud-based analytics and health monitoring is completely developed and managed in LabVIEW and the web application is created with LabVIEW Next Generation – Web module with system link cloud